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ECCV
2002
Springer
14 years 9 months ago
Probabilistic and Voting Approaches to Cue Integration for Figure-Ground Segmentation
This paper describes techniques for fusing the output of multiple cues to robustly and accurately segment foreground objects from the background in image sequences. Two different m...
Eric Hayman, Jan-Olof Eklundh
TSP
2008
82views more  TSP 2008»
13 years 7 months ago
Matched Subspace Detection With Hypothesis Dependent Noise Power
We consider the problem of detecting a subspace signal in white Gaussian noise when the noise power may be different under the null hypothesis--where it is assumed to be known--and...
François Vincent, Olivier Besson, Cé...
PASTE
2010
ACM
14 years 22 days ago
Learning universal probabilistic models for fault localization
Recently there has been significant interest in employing probabilistic techniques for fault localization. Using dynamic dependence information for multiple passing runs, learnin...
Min Feng, Rajiv Gupta
IMC
2005
ACM
14 years 1 months ago
Poisson versus Periodic Path Probing (or, Does PASTA Matter?)
Abstract— The well-known PASTA (“Poisson Arrivals See Time Averages”) property states that, under very general conditions, the fraction of Poisson arrivals that observe an un...
Muhammad Mukarram Bin Tariq, Amogh Dhamdhere, Cons...
CSL
2010
Springer
13 years 6 months ago
Voice activity detection based on statistical models and machine learning approaches
The voice activity detectors (VADs) based on statistical models have shown impressive performances especially when fairly precise statistical models are employed. Moreover, the ac...
Jong Won Shin, Joon-Hyuk Chang, Nam Soo Kim